PepsiCo (PEP)

EarningsTranscriptsUpdated

As of Oct 23, 2026, Kalshi and Polymarket have settled 98 word markets on PepsiCo’s earnings calls since 2025, on 42 different words; most reliably said: “Volume” (5 of 5). Next call: Feb 2, 2027 (14 words listed).

Next: Earnings call ·

14 words listed · Occasion page

Who counts: Kalshi: company speakers + operator

Kalshi

PepsiCo: the words listed for Tue, Feb 2, how often each was said on past occasions, and the probability for this one
WordQ4’24Feb '25Q1’25Apr '25Q2’25Jul '25Q3’25Oct '25Q4’25year agoQ1’26Apr '26Q2’26Jul '26Q3’26last callTrendLast 8ScriptedAll-timeProbabilityMarket
Affordable / Affordability1 time: Affordable / Affordability, Q4’24 Feb '25, counts as said0 times: Affordable / Affordability, Q1’25 Apr '258 times: Affordable / Affordability, Q2’25 Jul '25, counts as said3 times: Affordable / Affordability, Q3’25 Oct '25, counts as said6 times: Affordable / Affordability, Q4’25 Feb '26, counts as said0 times: Affordable / Affordability, Q1’26 Apr '269 times: Affordable / Affordability, Q2’26 Jul '26, counts as said5 times: Affordable / Affordability, Q3’26 Oct '26, counts as saidrising6/875%0/80%32/8040%82%transcripts from the transcript model68¢ Kalshi
Celsius0 times: Celsius, Q4’24 Feb '252 times: Celsius, Q1’25 Apr '25, counts as said2 times: Celsius, Q2’25 Jul '25, counts as said0 times: Celsius, Q3’25 Oct '253 times: Celsius, Q4’25 Feb '26, counts as said2 times: Celsius, Q1’26 Apr '26, counts as said1 time: Celsius, Q2’26 Jul '26, counts as said1 time: Celsius, Q3’26 Oct '26, counts as saidsteady6/875%0/80%13/8016%77%n=5+tx from settlement history blended with transcripts76¢ Kalshi
Away from Home16 times: Away from Home, Q4’24 Feb '25, counts as said1 time: Away from Home, Q1’25 Apr '25, counts as said9 times: Away from Home, Q2’25 Jul '25, counts as said3 times: Away from Home, Q3’25 Oct '25, counts as said1 time: Away from Home, Q4’25 Feb '26, counts as said4 times: Away from Home, Q1’26 Apr '26, counts as said6 times: Away from Home, Q2’26 Jul '26, counts as said0 times: Away from Home, Q3’26 Oct '26falling7/888%0/80%29/8036%73%n=5+tx from settlement history blended with transcripts58¢ Kalshi
Tariff0 times: Tariff, Q4’24 Feb '253 times: Tariff, Q1’25 Apr '25, counts as said1 time: Tariff, Q2’25 Jul '25, counts as said1 time: Tariff, Q3’25 Oct '25, counts as said0 times: Tariff, Q4’25 Feb '260 times: Tariff, Q1’26 Apr '266 times: Tariff, Q2’26 Jul '26, counts as said2 times: Tariff, Q3’26 Oct '26, counts as saidrising5/862%0/80%5/806%72%n=5+tx from settlement history blended with transcripts72¢ Kalshi
Protein10 times: Protein, Q4’24 Feb '25, counts as said3 times: Protein, Q1’25 Apr '25, counts as said7 times: Protein, Q2’25 Jul '25, counts as said11 times: Protein, Q3’25 Oct '25, counts as said2 times: Protein, Q4’25 Feb '26, counts as said0 times: Protein, Q1’26 Apr '261 time: Protein, Q2’26 Jul '26, counts as said1 time: Protein, Q3’26 Oct '26, counts as saidfalling7/888%0/80%18/8022%71%n=1+tx from settlement history blended with transcripts79¢ Kalshi
Acquired / Acquisition3 times: Acquired / Acquisition, Q4’24 Feb '25, counts as said3 times: Acquired / Acquisition, Q1’25 Apr '25, counts as said0 times: Acquired / Acquisition, Q2’25 Jul '254 times: Acquired / Acquisition, Q3’25 Oct '25, counts as said3 times: Acquired / Acquisition, Q4’25 Feb '26, counts as said1 time: Acquired / Acquisition, Q1’26 Apr '26, counts as said0 times: Acquired / Acquisition, Q2’26 Jul '262 times: Acquired / Acquisition, Q3’26 Oct '26, counts as saidfalling6/875%0/80%59/8074%65%transcripts from the transcript model46¢ Kalshi
China / Chinese0 times: China / Chinese, Q4’24 Feb '252 times: China / Chinese, Q1’25 Apr '25, counts as said3 times: China / Chinese, Q2’25 Jul '25, counts as said2 times: China / Chinese, Q3’25 Oct '25, counts as said2 times: China / Chinese, Q4’25 Feb '26, counts as said0 times: China / Chinese, Q1’26 Apr '261 time: China / Chinese, Q2’26 Jul '26, counts as said0 times: China / Chinese, Q3’26 Oct '26falling5/862%0/80%64/8080%44%transcripts from the transcript model40¢ Kalshi
Fiber0 times: Fiber, Q4’24 Feb '252 times: Fiber, Q1’25 Apr '25, counts as said0 times: Fiber, Q2’25 Jul '254 times: Fiber, Q3’25 Oct '25, counts as said4 times: Fiber, Q4’25 Feb '26, counts as said0 times: Fiber, Q1’26 Apr '260 times: Fiber, Q2’26 Jul '260 times: Fiber, Q3’26 Oct '26falling3/838%0/80%10/8012%36%n=1+tx from settlement history blended with transcripts24¢ Kalshi
GLP-1 / GLP2 times: GLP-1 / GLP, Q4’24 Feb '25, counts as said3 times: GLP-1 / GLP, Q1’25 Apr '25, counts as said0 times: GLP-1 / GLP, Q2’25 Jul '251 time: GLP-1 / GLP, Q3’25 Oct '25, counts as said3 times: GLP-1 / GLP, Q4’25 Feb '26, counts as said0 times: GLP-1 / GLP, Q1’26 Apr '260 times: GLP-1 / GLP, Q2’26 Jul '260 times: GLP-1 / GLP, Q3’26 Oct '26falling4/850%0/80%5/806%35%n=1+tx from settlement history blended with transcripts26¢ Kalshi
Publicis0 times: Publicis, Q4’24 Feb '250 times: Publicis, Q1’25 Apr '250 times: Publicis, Q2’25 Jul '250 times: Publicis, Q3’25 Oct '250 times: Publicis, Q4’25 Feb '260 times: Publicis, Q1’26 Apr '260 times: Publicis, Q2’26 Jul '261 time: Publicis, Q3’26 Oct '26, counts as saidrising1/812%0/80%1/801%31%transcripts from the transcript model18¢ Kalshi
Artificial Color0 times: Artificial Color, Q4’24 Feb '252 times: Artificial Color, Q1’25 Apr '25, counts as said1 time: Artificial Color, Q2’25 Jul '25, counts as said0 times: Artificial Color, Q3’25 Oct '250 times: Artificial Color, Q4’25 Feb '261 time: Artificial Color, Q1’26 Apr '26, counts as said0 times: Artificial Color, Q2’26 Jul '260 times: Artificial Color, Q3’26 Oct '26falling3/838%0/80%5/806%24%n=5+tx from settlement history blended with transcripts16¢ Kalshi
Autonomousnever said0 times: Autonomous, Q4’24 Feb '250 times: Autonomous, Q1’25 Apr '250 times: Autonomous, Q2’25 Jul '250 times: Autonomous, Q3’25 Oct '250 times: Autonomous, Q4’25 Feb '260 times: Autonomous, Q1’26 Apr '260 times: Autonomous, Q2’26 Jul '260 times: Autonomous, Q3’26 Oct '26steady0/80%0/80%0/800%10%n=2+tx from settlement history blended with transcripts6¢ Kalshi
Bubly0 times: Bubly, Q4’24 Feb '250 times: Bubly, Q1’25 Apr '250 times: Bubly, Q2’25 Jul '250 times: Bubly, Q3’25 Oct '250 times: Bubly, Q4’25 Feb '260 times: Bubly, Q1’26 Apr '260 times: Bubly, Q2’26 Jul '260 times: Bubly, Q3’26 Oct '26steady0/80%0/80%14/8018%10%n=2+tx from settlement history blended with transcripts5¢ Kalshi
Prebioticnever said0 times: Prebiotic, Q4’24 Feb '250 times: Prebiotic, Q1’25 Apr '250 times: Prebiotic, Q2’25 Jul '250 times: Prebiotic, Q3’25 Oct '250 times: Prebiotic, Q4’25 Feb '260 times: Prebiotic, Q1’26 Apr '260 times: Prebiotic, Q2’26 Jul '260 times: Prebiotic, Q3’26 Oct '26steady0/80%0/80%0/800%9%n=5+tx from settlement history blended with transcripts10¢ Kalshi
  • times said on that call
  • counted as said (ring)
  • no call
  • probability next time, with n
  • Select a word or a cell for its quotes
What the columns mean
Last N
of the appearances shown, how many counted as said
Trend
how the count moved over these calls
Scripted
calls of the last 8 where it was said in the prepared remarks
All-time
every call on file
Probability
the calibrated probability for the next listing; n is the settled observations behind it when it was computed, '+tx' adds the transcripts, 'new' means too little history

Market prices are mid quotes from Kalshi and Polymarket, shown for context, may be delayed by several minutes and are not a signal. Quotes as of Oct 20, 2026 15:46 UTC.

Every word

1–32 of 32, most settled first
PepsiCo: every word with settled markets, most settled first
WordQ4’24Feb '25Q1’25Apr '25Q2’25Jul '25Q3’25Oct '25Q4’25Feb '26Q1’26Apr '26Q2’26Jul '26Q3’26last callTrendLast 8ScriptedAll-timeProbability
Volume2 times: Volume, Q4’24 Feb '25, counts as said0 times: Volume, Q1’25 Apr '254 times: Volume, Q2’25 Jul '25, counts as said8 times: Volume, Q3’25 Oct '25, counts as said9 times: Volume, Q4’25 Feb '26, counts as said13 times: Volume, Q1’26 Apr '26, counts as said25 times: Volume, Q2’26 Jul '26, counts as said14 times: Volume, Q3’26 Oct '26, counts as saidrising7/888%0/80%71/8089%96%n=5+tx from settlement history blended with transcripts
Acquisition3 times: Acquisition, Q4’24 Feb '25, counts as said2 times: Acquisition, Q1’25 Apr '25, counts as said0 times: Acquisition, Q2’25 Jul '253 times: Acquisition, Q3’25 Oct '25, counts as said3 times: Acquisition, Q4’25 Feb '26, counts as said0 times: Acquisition, Q1’26 Apr '260 times: Acquisition, Q2’26 Jul '261 time: Acquisition, Q3’26 Oct '26, counts as saidfalling5/862%0/80%56/8070%59%n=5+tx from settlement history blended with transcripts
China0 times: China, Q4’24 Feb '252 times: China, Q1’25 Apr '25, counts as said1 time: China, Q2’25 Jul '25, counts as said2 times: China, Q3’25 Oct '25, counts as said2 times: China, Q4’25 Feb '26, counts as said0 times: China, Q1’26 Apr '261 time: China, Q2’26 Jul '26, counts as said0 times: China, Q3’26 Oct '26falling5/862%0/80%63/8079%44%n=5+tx from settlement history blended with transcripts
Food for Tomorrownever said0 times: Food for Tomorrow, Q4’24 Feb '250 times: Food for Tomorrow, Q1’25 Apr '250 times: Food for Tomorrow, Q2’25 Jul '250 times: Food for Tomorrow, Q3’25 Oct '250 times: Food for Tomorrow, Q4’25 Feb '260 times: Food for Tomorrow, Q1’26 Apr '260 times: Food for Tomorrow, Q2’26 Jul '260 times: Food for Tomorrow, Q3’26 Oct '26steady0/80%0/80%0/800%9%n=5+tx from settlement history blended with transcripts
GLP-10 times: GLP-1, Q4’24 Feb '250 times: GLP-1, Q1’25 Apr '250 times: GLP-1, Q2’25 Jul '251 time: GLP-1, Q3’25 Oct '25, counts as said1 time: GLP-1, Q4’25 Feb '26, counts as said0 times: GLP-1, Q1’26 Apr '260 times: GLP-1, Q2’26 Jul '260 times: GLP-1, Q3’26 Oct '26steady2/825%0/80%2/802%21%n=4+tx from settlement history blended with transcripts
Healthy0 times: Healthy, Q4’24 Feb '250 times: Healthy, Q1’25 Apr '251 time: Healthy, Q2’25 Jul '25, counts as said0 times: Healthy, Q3’25 Oct '250 times: Healthy, Q4’25 Feb '261 time: Healthy, Q1’26 Apr '26, counts as said0 times: Healthy, Q2’26 Jul '260 times: Healthy, Q3’26 Oct '26steady2/825%0/80%53/8066%24%n=4+tx from settlement history blended with transcripts
Commercial2 times: Commercial, Q4’24 Feb '25, counts as said0 times: Commercial, Q1’25 Apr '250 times: Commercial, Q2’25 Jul '250 times: Commercial, Q3’25 Oct '252 times: Commercial, Q4’25 Feb '26, counts as said4 times: Commercial, Q1’26 Apr '26, counts as said3 times: Commercial, Q2’26 Jul '26, counts as said1 time: Commercial, Q3’26 Oct '26, counts as saidrising5/862%0/80%38/8048%80%n=2+tx from settlement history blended with transcripts
Consumer48 times: Consumer, Q4’24 Feb '25, counts as said43 times: Consumer, Q1’25 Apr '25, counts as said35 times: Consumer, Q2’25 Jul '25, counts as said35 times: Consumer, Q3’25 Oct '25, counts as said27 times: Consumer, Q4’25 Feb '26, counts as said23 times: Consumer, Q1’26 Apr '26, counts as said24 times: Consumer, Q2’26 Jul '26, counts as said14 times: Consumer, Q3’26 Oct '26, counts as saidfalling8/8100%0/80%77/8096%97%n=2+tx from settlement history blended with transcripts
Margin7 times: Margin, Q4’24 Feb '25, counts as said6 times: Margin, Q1’25 Apr '25, counts as said3 times: Margin, Q2’25 Jul '25, counts as said10 times: Margin, Q3’25 Oct '25, counts as said6 times: Margin, Q4’25 Feb '26, counts as said4 times: Margin, Q1’26 Apr '26, counts as said6 times: Margin, Q2’26 Jul '26, counts as said14 times: Margin, Q3’26 Oct '26, counts as saidrising8/8100%0/80%76/8095%94%n=2+tx from settlement history blended with transcripts
Revenue5+ times0 times: Revenue 5+ times, Q4’24 Feb '258 times: Revenue 5+ times, Q1’25 Apr '25, counts as said0 times: Revenue 5+ times, Q2’25 Jul '256 times: Revenue 5+ times, Q3’25 Oct '25, counts as said4 times: Revenue 5+ times, Q4’25 Feb '26, below the threshold4 times: Revenue 5+ times, Q1’26 Apr '26, below the threshold4 times: Revenue 5+ times, Q2’26 Jul '26, below the threshold12 times: Revenue 5+ times, Q3’26 Oct '26, counts as saidrising3/838%0/80%60/8075%51%n=2+tx from settlement history blended with transcripts
Starbucks0 times: Starbucks, Q4’24 Feb '251 time: Starbucks, Q1’25 Apr '25, counts as said2 times: Starbucks, Q2’25 Jul '25, counts as said1 time: Starbucks, Q3’25 Oct '25, counts as said0 times: Starbucks, Q4’25 Feb '261 time: Starbucks, Q1’26 Apr '26, counts as said0 times: Starbucks, Q2’26 Jul '260 times: Starbucks, Q3’26 Oct '26falling4/850%0/80%36/8045%31%n=2+tx from settlement history blended with transcripts
World Cup0 times: World Cup, Q4’24 Feb '250 times: World Cup, Q1’25 Apr '250 times: World Cup, Q2’25 Jul '250 times: World Cup, Q3’25 Oct '250 times: World Cup, Q4’25 Feb '262 times: World Cup, Q1’26 Apr '26, counts as said3 times: World Cup, Q2’26 Jul '26, counts as said0 times: World Cup, Q3’26 Oct '26rising2/825%0/80%3/804%42%n=2+tx from settlement history blended with transcripts
Fiscalnever said 5+ times0 times: Fiscal 5+ times, Q4’24 Feb '250 times: Fiscal 5+ times, Q1’25 Apr '250 times: Fiscal 5+ times, Q2’25 Jul '250 times: Fiscal 5+ times, Q3’25 Oct '250 times: Fiscal 5+ times, Q4’25 Feb '260 times: Fiscal 5+ times, Q1’26 Apr '260 times: Fiscal 5+ times, Q2’26 Jul '260 times: Fiscal 5+ times, Q3’26 Oct '26steady0/80%0/80%0/800%3%n=2+tx from settlement history blended with transcripts
Nvidianever said0 times: Nvidia, Q4’24 Feb '250 times: Nvidia, Q1’25 Apr '250 times: Nvidia, Q2’25 Jul '250 times: Nvidia, Q3’25 Oct '250 times: Nvidia, Q4’25 Feb '260 times: Nvidia, Q1’26 Apr '260 times: Nvidia, Q2’26 Jul '260 times: Nvidia, Q3’26 Oct '26steady0/80%0/80%0/800%11%n=2+tx from settlement history blended with transcripts
Affordability2 times: Affordability, Q4’24 Feb '25, counts as said0 times: Affordability, Q1’25 Apr '257 times: Affordability, Q2’25 Jul '25, counts as said3 times: Affordability, Q3’25 Oct '25, counts as said6 times: Affordability, Q4’25 Feb '26, counts as said3 times: Affordability, Q1’26 Apr '26, counts as said14 times: Affordability, Q2’26 Jul '26, counts as said3 times: Affordability, Q3’26 Oct '26, counts as saidrising7/888%0/80%22/8028%90%n=1+tx from settlement history blended with transcripts
AI / Artificial Intelligence1 time: AI / Artificial Intelligence, Q4’24 Feb '25, counts as said0 times: AI / Artificial Intelligence, Q1’25 Apr '251 time: AI / Artificial Intelligence, Q2’25 Jul '25, counts as said1 time: AI / Artificial Intelligence, Q3’25 Oct '25, counts as said1 time: AI / Artificial Intelligence, Q4’25 Feb '26, counts as said2 times: AI / Artificial Intelligence, Q1’26 Apr '26, counts as said0 times: AI / Artificial Intelligence, Q2’26 Jul '261 time: AI / Artificial Intelligence, Q3’26 Oct '26, counts as saidsteady6/875%0/80%14/8018%68%n=1+tx from settlement history blended with transcripts
Inflation4 times: Inflation, Q4’24 Feb '25, counts as said2 times: Inflation, Q1’25 Apr '25, counts as said0 times: Inflation, Q2’25 Jul '250 times: Inflation, Q3’25 Oct '250 times: Inflation, Q4’25 Feb '266 times: Inflation, Q1’26 Apr '26, counts as said7 times: Inflation, Q2’26 Jul '26, counts as said6 times: Inflation, Q3’26 Oct '26, counts as saidrising5/862%0/80%66/8082%85%n=1+tx from settlement history blended with transcripts
Organic5+ times2 times: Organic 5+ times, Q4’24 Feb '25, below the threshold5 times: Organic 5+ times, Q1’25 Apr '25, counts as said2 times: Organic 5+ times, Q2’25 Jul '25, below the threshold7 times: Organic 5+ times, Q3’25 Oct '25, counts as said9 times: Organic 5+ times, Q4’25 Feb '26, counts as said10 times: Organic 5+ times, Q1’26 Apr '26, counts as said2 times: Organic 5+ times, Q2’26 Jul '26, below the threshold5 times: Organic 5+ times, Q3’26 Oct '26, counts as saidrising5/862%0/80%41/8051%64%n=1+tx from settlement history blended with transcripts
Permissible2 times: Permissible, Q4’24 Feb '25, counts as said0 times: Permissible, Q1’25 Apr '256 times: Permissible, Q2’25 Jul '25, counts as said6 times: Permissible, Q3’25 Oct '25, counts as said0 times: Permissible, Q4’25 Feb '263 times: Permissible, Q1’26 Apr '26, counts as said4 times: Permissible, Q2’26 Jul '26, counts as said2 times: Permissible, Q3’26 Oct '26, counts as saidsteady6/875%0/80%15/8019%78%n=1+tx from settlement history blended with transcripts
Snack13 times: Snack, Q4’24 Feb '25, counts as said3 times: Snack, Q1’25 Apr '25, counts as said8 times: Snack, Q2’25 Jul '25, counts as said5 times: Snack, Q3’25 Oct '25, counts as said1 time: Snack, Q4’25 Feb '26, counts as said5 times: Snack, Q1’26 Apr '26, counts as said3 times: Snack, Q2’26 Jul '26, counts as said8 times: Snack, Q3’26 Oct '26, counts as saidfalling8/8100%0/80%78/8098%90%n=1+tx from settlement history blended with transcripts
Diabetes0 times: Diabetes, Q4’24 Feb '250 times: Diabetes, Q1’25 Apr '250 times: Diabetes, Q2’25 Jul '250 times: Diabetes, Q3’25 Oct '250 times: Diabetes, Q4’25 Feb '260 times: Diabetes, Q1’26 Apr '260 times: Diabetes, Q2’26 Jul '260 times: Diabetes, Q3’26 Oct '26steady0/80%0/80%1/801%12%n=1+tx from settlement history blended with transcripts
Diet0 times: Diet, Q4’24 Feb '250 times: Diet, Q1’25 Apr '252 times: Diet, Q2’25 Jul '25, counts as said1 time: Diet, Q3’25 Oct '25, counts as said0 times: Diet, Q4’25 Feb '260 times: Diet, Q1’26 Apr '260 times: Diet, Q2’26 Jul '260 times: Diet, Q3’26 Oct '26falling2/825%0/80%25/8031%17%n=1+tx from settlement history blended with transcripts
Dividend0 times: Dividend, Q4’24 Feb '250 times: Dividend, Q1’25 Apr '250 times: Dividend, Q2’25 Jul '250 times: Dividend, Q3’25 Oct '250 times: Dividend, Q4’25 Feb '260 times: Dividend, Q1’26 Apr '260 times: Dividend, Q2’26 Jul '260 times: Dividend, Q3’26 Oct '26steady0/80%0/80%45/8056%12%n=1+tx from settlement history blended with transcripts
Gatiknever said0 times: Gatik, Q4’24 Feb '250 times: Gatik, Q1’25 Apr '250 times: Gatik, Q2’25 Jul '250 times: Gatik, Q3’25 Oct '250 times: Gatik, Q4’25 Feb '260 times: Gatik, Q1’26 Apr '260 times: Gatik, Q2’26 Jul '260 times: Gatik, Q3’26 Oct '26steady0/80%0/80%0/800%11%n=1+tx from settlement history blended with transcripts
Gatorade2 times: Gatorade, Q4’24 Feb '25, counts as said6 times: Gatorade, Q1’25 Apr '25, counts as said3 times: Gatorade, Q2’25 Jul '25, counts as said5 times: Gatorade, Q3’25 Oct '25, counts as said7 times: Gatorade, Q4’25 Feb '26, counts as said3 times: Gatorade, Q1’26 Apr '26, counts as said0 times: Gatorade, Q2’26 Jul '261 time: Gatorade, Q3’26 Oct '26, counts as saidfalling7/888%0/80%74/8092%72%n=1+tx from settlement history blended with transcripts
Importnever said0 times: Import, Q4’24 Feb '250 times: Import, Q1’25 Apr '250 times: Import, Q2’25 Jul '250 times: Import, Q3’25 Oct '250 times: Import, Q4’25 Feb '260 times: Import, Q1’26 Apr '260 times: Import, Q2’26 Jul '260 times: Import, Q3’26 Oct '26steady0/80%0/80%0/800%12%n=1+tx from settlement history blended with transcripts
Lossnever said 10+ times0 times: Loss 10+ times, Q4’24 Feb '250 times: Loss 10+ times, Q1’25 Apr '250 times: Loss 10+ times, Q2’25 Jul '251 time: Loss 10+ times, Q3’25 Oct '25, below the threshold1 time: Loss 10+ times, Q4’25 Feb '26, below the threshold0 times: Loss 10+ times, Q1’26 Apr '260 times: Loss 10+ times, Q2’26 Jul '260 times: Loss 10+ times, Q3’26 Oct '26steady0/80%0/80%0/800%3%n=1+tx from settlement history blended with transcripts
PBNA1 time: PBNA, Q4’24 Feb '25, counts as said1 time: PBNA, Q1’25 Apr '25, counts as said4 times: PBNA, Q2’25 Jul '25, counts as said3 times: PBNA, Q3’25 Oct '25, counts as said4 times: PBNA, Q4’25 Feb '26, counts as said7 times: PBNA, Q1’26 Apr '26, counts as said5 times: PBNA, Q2’26 Jul '26, counts as said0 times: PBNA, Q3’26 Oct '26rising7/888%0/80%30/8038%70%n=1+tx from settlement history blended with transcripts
Picklenever said0 times: Pickle, Q4’24 Feb '250 times: Pickle, Q1’25 Apr '250 times: Pickle, Q2’25 Jul '250 times: Pickle, Q3’25 Oct '250 times: Pickle, Q4’25 Feb '260 times: Pickle, Q1’26 Apr '260 times: Pickle, Q2’26 Jul '260 times: Pickle, Q3’26 Oct '26steady0/80%0/80%0/800%12%n=1+tx from settlement history blended with transcripts
Quaker2 times: Quaker, Q4’24 Feb '25, counts as said1 time: Quaker, Q1’25 Apr '25, counts as said1 time: Quaker, Q2’25 Jul '25, counts as said1 time: Quaker, Q3’25 Oct '25, counts as said6 times: Quaker, Q4’25 Feb '26, counts as said3 times: Quaker, Q1’26 Apr '26, counts as said0 times: Quaker, Q2’26 Jul '260 times: Quaker, Q3’26 Oct '26steady6/875%0/80%64/8080%58%n=1+tx from settlement history blended with transcripts
Shipping0 times: Shipping, Q4’24 Feb '250 times: Shipping, Q1’25 Apr '250 times: Shipping, Q2’25 Jul '250 times: Shipping, Q3’25 Oct '250 times: Shipping, Q4’25 Feb '262 times: Shipping, Q1’26 Apr '26, counts as said0 times: Shipping, Q2’26 Jul '260 times: Shipping, Q3’26 Oct '26rising1/812%0/80%8/8010%24%n=1+tx from settlement history blended with transcripts
Zero Sugar1 time: Zero Sugar, Q4’24 Feb '25, counts as said1 time: Zero Sugar, Q1’25 Apr '25, counts as said0 times: Zero Sugar, Q2’25 Jul '253 times: Zero Sugar, Q3’25 Oct '25, counts as said0 times: Zero Sugar, Q4’25 Feb '260 times: Zero Sugar, Q1’26 Apr '260 times: Zero Sugar, Q2’26 Jul '260 times: Zero Sugar, Q3’26 Oct '26falling3/838%0/80%16/8020%19%n=1+tx from settlement history blended with transcripts
What the columns mean
Last N
of the appearances shown, how many counted as said
Trend
how the count moved over these calls
Scripted
calls of the last 8 where it was said in the prepared remarks
All-time
every call on file
Probability
the calibrated probability for the next listing; n is the settled observations behind it when it was computed, '+tx' adds the transcripts, 'new' means too little history

Appearances and settled record

latest 12

Our transcript counts matched how 98 of 98 settled words resolved (100.0%). How we check.

Recent appearances and how their listed words settled
DateAppearanceTextWordsSettledOur count agreed
Oct 8, 2026Earnings call FY26 Q3Speaker-labelled transcript3117 yes · 14 no31/31 (100%)
Jul 9, 2026Earnings call FY26 Q2Speaker-labelled transcript3111 yes · 20 no31/31 (100%)
Apr 16, 2026Earnings call FY26 Q1Speaker-labelled transcript146 yes · 8 no14/14 (100%)
Feb 3, 2026Earnings call FY25 Q4Speaker-labelled transcript126 yes · 6 no12/12 (100%)
Oct 9, 2025Earnings call FY25 Q3Speaker-labelled transcript105 yes · 5 no10/10 (100%)
Jul 17, 2025Earnings call FY25 Q2Speaker-labelled transcript0––
Apr 24, 2025Earnings call FY25 Q1Speaker-labelled transcript0––
Feb 4, 2025Earnings call FY24 Q4Speaker-labelled transcript0––
Oct 8, 2024Earnings call FY24 Q3Speaker-labelled transcript0––
Jul 11, 2024Earnings call FY24 Q2Speaker-labelled transcript0––
Apr 23, 2024Earnings call FY24 Q1Speaker-labelled transcript0––
Feb 9, 2024Earnings call FY23 Q4Speaker-labelled transcript0––

Citeparrot.markets, “PepsiCo (PEP): earnings call word history”, as of Oct 23, 2026, https://parrot.markets/earnings/PEP (CC BY 4.0)

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